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Paul D. Allison
University of Pennsylvania
115Publications
46H-index
21.4kCitations
Publications 115
Newest
#1Michael J. Zyphur (University of Melbourne)H-Index: 23
#2Manuel C. Voelkle (Humboldt University of Berlin)H-Index: 12
Last.Ed Diener (UVA: University of Virginia)H-Index: 129
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This article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis t...
#1Michael J. Zyphur (University of Melbourne)H-Index: 23
#2Paul D. Allison (UPenn: University of Pennsylvania)H-Index: 46
Last.Ed Diener (UVA: University of Virginia)H-Index: 129
view all 11 authors...
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Start...
#1Enrique Moral-Benito (Bank of Spain)H-Index: 17
#2Paul D. Allison (UPenn: University of Pennsylvania)H-Index: 46
Last.Richard A Williams (ND: University of Notre Dame)H-Index: 41
view all 3 authors...
The Arellano and Bond (1991) estimator is widely-used among applied researchers when estimating dynamic panels with fixed effects and predetermined regressors. This estimator might behave poorly in finite samples when the cross-section dimension of the data is small (i.e. small N), especially if the variables under analysis are persistent over time. This paper discusses a maximum likelihood estimator that is asymptotically equivalent to Arellano and Bond (1991) but presents better finite sample ...
Standard fixed-effects methods presume that effects of variables are symmetric: The effect of increasing a variable is the same as the effect of decreasing that variable but in the opposite direction. This is implausible for many social phenomena. York and Light showed how to estimate asymmetric models by estimating first-difference regressions in which the difference scores for the predictors are decomposed into positive and negative changes. In this article, I show that there are several aspec...
#1Richard Williams (ND: University of Notre Dame)H-Index: 17
#2Richard A Williams (ND: University of Notre Dame)H-Index: 41
Last.Enrique Moral-Benito (Bank of Spain)H-Index: 17
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Panel data make it possible both to control for unobserved confounders and to include lagged, endogenous regressors. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). In Stata, commands such as xtabond and xtdpdsys have been used for these models. Here we show that the same problems can be addressed via m...
#1Jordan Beardslee (ASU: Arizona State University)H-Index: 2
#2Edward P. Mulvey (University of Pittsburgh)H-Index: 45
Last.Dustin A. Pardini (ASU: Arizona State University)H-Index: 45
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Objective Although studies have found that youth exposed to violence are more likely to carry guns than non-exposed youth, this association could be due to common causal factors or other pre-existing differences between individuals. In this study, within-individual change models were used to determine whether juvenile offenders exhibit an increased propensity to carry a firearm after being exposed to gun violence and/or non-gun violence. The advantage of this approach is all time-invariant facto...
#1Paul D. AllisonH-Index: 46
#2Richard WilliamsH-Index: 17
Last.Enrique Moral-BenitoH-Index: 17
view all 3 authors...
Panel data make it possible both to control for unobserved confounders and allow for lagged, reciprocal causation. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). Here we show that the same problems can be solved by maximum likelihood (ML) estimation implemented with standard software packages for struc...
Panel data make it possible both to control for unobserved confounders and to include lagged, endogenous regressors. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). In Stata, commands such as xtabond and xtdpdsys have been used for these models. xtdpdml addresses the same problems via maximum likelihood...
#1Paula England (NYU: New York University)H-Index: 46
#2Paul D. Allison (UPenn: University of Pennsylvania)H-Index: 46
Last.Liana C. Sayer (UMD: University of Maryland, College Park)H-Index: 17
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The authors assessed how the relative age of spouses affects whether men or women initiate a divorce, using data from the National Survey of Families and Households. Ex-spouses' reports of who left generally agreed, but not always, so the analysis used a latent class model embedded in an event-history model with competing risks that the woman leaves the man or the man leaves the woman. Support was not found for the hypothesis that age heterogamy itself increases the odds of divorce: Even large a...
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